Active traffic management strategies for expressways based on crash risk prediction of moving vehicle groups
Active traffic management (ATM) strategies are useful methods to reduce crash risk and improve safety on expressways. Although there are some studies on ATM strategies, few studies take the moving vehicle group as the object of analysis. Based on the crash risk prediction of moving vehicle groups in a connected vehicle (CV) environment, this study developed various ATM safety strategies, that is, variable speed limits (VSLs), ramp metering (RM), and coordinated VSL and RM (VSL-RM) strategies. VSLs were updated to minimize the crash risk of multiple moving vehicle groups in the next time interval, which is 1 min, and the updated speed limits were sent directly to the CVs in the moving vehicle group. The metering rate and RM opening time were determined using mainline occupancy, the crash risk of upcoming moving vehicle groups, and the predicted time at which moving vehicle groups arrived at the on-ramp. The VSL-RM strategy was used to simultaneously control and coordinate traffic flow on the mainline and ramps. These strategies were tested in a well-calibrated and validated micro-simulation network. The crash risk index and conflict count were utilized to evaluate the safety effects of these strategies. The results indicate that the ATM strategies improved the expressway safety benefits by 2.84–15.92%. The increase in CV penetration rate would promote the safety benefits of VSL and VSL-RM. Moreover, VSL-RM was superior to VSL and RM in reducing crash risk and conflict count.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
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Supplemental Notes:
- © 2021 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Ma, Wanjing
- He, Ziliang
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0000-0002-3011-9286
- Wang, Ling
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0000-0001-7901-3995
- Abdel-Aty, Mohamed
- Yu, Chunhui
- Publication Date: 2021-12
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 106421
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Serial:
- Accident Analysis & Prevention
- Volume: 163
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0001-4575
- Serial URL: http://www.sciencedirect.com/science/journal/00014575
Subject/Index Terms
- TRT Terms: Advanced traffic management systems; Connected vehicles; Crash risk forecasting; Ramp metering; Traffic flow; Variable speed limits
- Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01788679
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 18 2021 12:12PM